CN107169223A - Vehicle parameter instruction method based on vehicle handling stability test evaluation system - Google Patents
Vehicle parameter instruction method based on vehicle handling stability test evaluation system Download PDFInfo
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Abstract
Method is looked after and guided the present invention relates to a kind of vehicle parameter based on vehicle handling stability test evaluation system, belongs to automotive field.Including vehicle parameter instruction, vehicle dynamics simulation model, vehicle handling stability experiment RES(rapid evaluation system), vehicle performance comprehensive grading is calculated and desired value judges.The present invention tests RES(rapid evaluation system) based on vehicle handling stability, theoretical foundation is provided to vehicle parameter adjustment, so that the early stage in automobile product development can be achieved with optimizing vehicle handling stability, so as to effectively improve the market competitiveness of automobile product, the brand effect of automobile vendor is improved.
Description
Technical field
The present invention relates to the vehicle parameter optimization side in automotive field, more particularly to vehicle handling stability Fast Evaluation
Method.
Background technology
In control stability exploitation, it is tool that fast prediction and control are just carried out to vehicle performance in conceptual phase
There is engineering significance.
Control stability not only influences the manipulation side of car steering as one of key factor of influence automobile active safety
Just property, is also to determine one of main performance of high speed car safety traffic.The quality of operational stability directly affects the straight of user
Perception by.Good control stability can adapt to the consumer of driving style, be conducive to improving the brand effect of vehicle.
Whether the main design by a large amount of strict vehicle performances experiments to verify automobile product both at home and abroad is reasonable at present,
Then to exposure the problem of is analyzed and changed, and foundation is provided for its batch production.Vehicle performance experiment is relied primarily at present
Real vehicle on-the-ground test, after sample car, the vehicle such as suspension hard spot elementary structure parameter and general arrangement parameter are determined, and are left for
Engineer is limited to the room for improvement of vehicle parameter, once going wrong, finally causes adjustment result not reach Product Definition rank
Section performance requirement, without enough market competitiveness, in addition can not adjustment, ultimately cause product development failure.In addition, work
Cheng Shi needs to carry out adjustment to vehicle parameter by long-term experience accumulation.In summary, real vehicle on-the-ground test needs enterprise
The resources such as substantial amounts of human and material resources, financial resources are put into, the evaluation and adjustment of sample car can be caused to devote a tremendous amount of time, are unfavorable for enterprise
Industry reduces development cost and shortens the construction cycle.
The problem of presently, there are：1. automobile test data are not handled generally in testing ground, due to driver's subjective factor
Influence, invalid test data is certainly existed in experiment, if finding and kicking except invalid test data in later data processing,
So that existing valid data are not enough to support to the comprehensive analysis of vehicle performance and evaluated, it is necessary to carry out new on-the-ground test.
Therefore whole process of the test wastes substantial amounts of human and material resources and financial resources, extends the automotive development cycle, reduces the city of product
Field competitiveness.2. the validity of automobile test is generally judged by driver, due to the influence of artificial subjective factor, different drivers
Judgment criteria is different；Or misjudgment phenomenon can be also produced under identical judgment criteria, cause test evaluation credible result degree to compare
It is low, extend the automotive performance instruction cycle.Therefore need to form a set of unified test validity judgment criteria, and set by special
Standby or computational algorithm is carried out, and at utmost reduces human error, reduces the influence of subjective factor in result of the test, increase experiment
As a result objectivity and confidence level.3. at present, in the market lacks vehicle handling stability experiment Fast Evaluation or related hard
Part is laid in.4. vehicle parameter calibration procedures can only be implemented in the adjustment stage in later stage of automotive development, for the morning in product development
In stage phase, started late by the research of Virtual Realization under Computer Simulation environment, lack of experience, if there is no theoretical method conduct
Instruct, it is difficult to which break independent brand in a short time lags behind external product, the hypodynamic situation of competition in driving assessment technique.
The content of the invention
The present invention provides a kind of vehicle parameter instruction method based on vehicle handling stability test evaluation system, to solve
The above-mentioned technical problem of presence.
The present invention is adopted the technical scheme that：It is steady including vehicle parameter instruction, vehicle dynamics simulation model, automobile operation
Qualitative test RES(rapid evaluation system), vehicle performance comprehensive grading are calculated and desired value judges.
Vehicle parameter of the present invention is looked after and guided to be read and parameter change for vehicle dynamic model parameter.
Vehicle dynamics simulation model of the present invention is used to emulate various handling and stability experiment operating modes, is tried in real time
Test data.
Vehicle handling stability experiment RES(rapid evaluation system) of the present invention is to respond letter according to driver's input and vehicle
Number can quickly identification test scheme, operating condition of test, judge the validity of experiment, and experiment carried out based on effective test data to comment
The calculating of valency index.
It is according to Vehicle Handling Stability Evaluation index, with reference to QC/ that vehicle performance comprehensive grading of the present invention, which is calculated,
The comprehensive grading of each testing program of T480-1999 criterion calculations.
Desired value of the present invention judges it is when vehicle handling stability experiment comprehensive grading reaches desired value, or experiment time
When number reaches maximum set value, desired value judges that chassis parameter instruction process can be stopped, and otherwise may proceed to next round chassis parameter
Instruction process.
Furthermore, vehicle handling stability experiment RES(rapid evaluation system) includes the selection of feature physical quantity, test data
Pretreatment 1, testing program identification, test data pretreatment 2, operating condition of test identification, test validity are examined and test evaluation；
The feature physical quantity, which selects to be used for the selection from driver's input and vehicle response signal, can fully characterize examination
The main feature of proved recipe case and the physical quantity that the testing program and other testing programs can be distinguished；
Test data pretreatment 1 and experiment 2 pairs of test datas of pretreatment carry out rejecting outlier, LPF, coordinate transform,
Data interpolating and data normalization；
Testing program is recognized for quick identification test scheme；
Operating condition of test is recognized for quick identification test operating mode；
Test validity examines the validity for the deviation limit value check test data for being the test parameters according to as defined in standard；
Test evaluation is quickly to calculate test evaluation index according to effective test data and operating condition of test.
The inventive method can carry out fast under Computer Simulation environment to handling and stability experiment scheme and operating condition of test
Speed identification, and the validity that it is tested is tested, and the corresponding evaluation index of each testing program is calculated, based on evaluation index
To calculate control stability comprehensive grading, then judge whether vehicle performance comprehensive grading reaches expection, vehicle parameter is carried out
Adjustment, is realized in vehicle parameter in the reasonable scope, the optimization of vehicle performance.
The present invention tests RES(rapid evaluation system) based on vehicle handling stability, and theoretical foundation is provided to vehicle parameter adjustment,
So that the early stage in automobile product development can be achieved with optimizing vehicle handling stability, so as to effectively improve automobile
The competitiveness of product in market, improves the brand effect of automobile vendor.
Brief description of the drawings
Fig. 1 is model calculation flow chart of the embodiment of the present invention；
Fig. 2 is that snakelike test validity examines figure；
Fig. 3 is snakelike experiment sample graph to be tested；
Fig. 4 is snakelike experiment steering wheel angle zero point and peak point schematic diagram；
Fig. 5 is snakelike experiment steering wheel angle effective peak point schematic diagram；
Fig. 6 is the vehicle parameter adjustment flow chart that steady RES(rapid evaluation system) is grasped based on automobile；
Fig. 7 is vehicle design parameter optimization flow chart under Isight softwares；
Fig. 8 is snakelike experiment comprehensive grading variation diagram in vehicle parameter preferred process.
Embodiment
With reference to the accompanying drawings and examples, the embodiment to the present invention is described in further detail.The present invention's
Embodiment is exemplary, is only used for explaining the present invention, it is impossible to be interpreted as limitation of the present invention.
Below with reference to the accompanying drawings vehicle parameter adjusting process based on vehicle handling stability experiment RES(rapid evaluation system) is described.
The vehicle parameter for testing RES(rapid evaluation system) based on vehicle handling stability looks after and guides method, including vehicle parameter is adjusted
Religion, vehicle dynamics simulation model, vehicle handling stability experiment RES(rapid evaluation system), vehicle performance comprehensive grading are calculated and mesh
Scale value judgement, as shown in Figure 1；
Wherein, vehicle parameter is looked after and guided reads and parameter change for vehicle dynamic model parameter；
Vehicle dynamics simulation model is used to emulate various handling and stability experiment operating modes, and test data is obtained in real time；
Vehicle handling stability experiment RES(rapid evaluation system) can be quickly known according to driver's input and vehicle response signal
Other testing program, operating condition of test, judge the validity of experiment, and based on the meter of effective test data progress test evaluation index
Calculate；
It is according to Vehicle Handling Stability Evaluation index, with reference to QC/T480-1999 standards that vehicle performance comprehensive grading, which is calculated,
Calculate the comprehensive grading of each testing program；
Desired value judges it is when vehicle handling stability experiment comprehensive grading reaches that desired value, or test number (TN) reach maximum
During setting value, desired value judges that chassis parameter instruction process can be stopped, and otherwise may proceed to next round chassis parameter instruction process；
Furthermore, vehicle handling stability experiment RES(rapid evaluation system) includes the selection of feature physical quantity, test data
Pretreatment 1, testing program identification, test data pretreatment 2, operating condition of test identification, test validity are examined and test evaluation；
Feature physical quantity, which selects to be used for the selection from driver's input and vehicle response signal, can fully characterize experiment side
The main feature of case and the physical quantity that the testing program and other testing programs can be distinguished；
Test data pretreatment 1 and experiment 2 pairs of test datas of pretreatment carry out rejecting outlier, LPF, coordinate transform,
Data interpolating and data normalization；
Testing program is recognized for quick identification test scheme；
Operating condition of test is recognized for quick identification test operating mode；
Test validity examines the validity for the deviation limit value check test data for being the test parameters according to as defined in standard；
Test evaluation is quickly to calculate test evaluation index according to effective test data and operating condition of test.
It is following to further illustrate that vehicle handling stability tests the method for building up of RES(rapid evaluation system) by experimental example
Comprise the following steps：
(1), vehicle handling stability experimental data base is set up, test data source：18 sections of cars under CarSim simulated environment
The real vehicle on-the-ground test data of the l-G simulation test data of type and 8 sections of vehicles, vehicle covers A grades of cars to E grades of cars；
(2), feature physical quantity system of selection；The handling and stability experiment scheme being related to include GB/T6323-2014 and
Snakelike experiment, Steering Wheel Angle Step experiment in ISO international standards, steering wheel impulse input test, two-track thread test, stable state
Turning test, ease of steering experiment, single sinusoidal experiments, frequency sweep test, braking in a turn test, turn interrupt dynamic test, in
Heart district-walk experiment, center-slope experiment, turn to discharge ring test, deflection vein refunds just test, pivot stud experiment；
The handling and stability experiment scheme feature physical quantity being related to includes：The feature physical quantity of snakelike experiment is that vehicle is lateral
Position；The feature physical quantity of steering wheel impulse input test is steering wheel angle；The feature physics of Steering Wheel Angle Step experiment
Amount is steering wheel angle；The feature physical quantity of two-track thread test is vehicle lateral position；The feature physics of ease of steering experiment
Amount is track of vehicle；The feature physical quantity of steady orbit-determine radius is longitudinal speed and side acceleration；Steady orbit-fixed turn
The feature physical quantity at angle is steering wheel angle and longitudinal speed；The feature physical quantity of steady orbit-determine speed is steering wheel angle
With longitudinal speed；The feature physical quantity of single sinusoidal experiments is steering wheel angle；The feature physical quantity of frequency sweep test is that steering wheel turns
Angle；The feature physical quantity of center-walk experiment is steering wheel angle；The feature physical quantity of center-slope experiment is to turn to
Disk corner；The feature physical quantity that steering discharges ring test is hand-wheel torque；The feature physical quantity that deflection vein refunds is just being tested
It is hand-wheel torque；The feature physical quantity of braking in a turn test is steering wheel angle and longitudinal speed；Turn and interrupt dynamic test
Feature physical quantity be steering wheel angle and longitudinal speed；The feature physical quantity of pivot stud experiment is steering wheel angle；
(3), test data pre-processes 1 method, including：
A1. outlier is rejected using median filter method；
A2. LPF；
A3. coordinate transform, the track of vehicle signal of real train test data is obtained by GPS navigation location technology measurement
, the position signalling of vehicle is represented under gps coordinate system, and actual use process needs to carry out coordinate change to vehicle position information
Change；For vehicle position information is transformed under positional representation coordinate system, the vehicle position information of wherein GPS gathers is needed by three
Secondary coordinate transform, longitude, dimension and the elevation information of GPS gathers are represented under WGS-84 coordinate systems, first by the warp of GPS gathers
Degree, dimension and elevation information are transformed under ECEF coordinate system；Secondly, by table of the vehicle location under ECEF coordinate system
Show and be transformed under local horizontal coordinates；Finally, expression of the vehicle location under local horizontal coordinates is transformed into position table
Show under coordinate system；Three processes are specific as follows：
A31.WGS-84 coordinate systems are converted to ECEF coordinate system
e2=(a2-b2)/a2=2f-f2
In formula, XE、YE、ZEFor coordinate representation of the vehicle location under ECEF coordinate system；λ, h are respectively vehicle position
Put latitude, longitude and elevation under WGS-84 coordinate systems；V is latitudeLocate the radius of curvature of prime vertical；E is WGS-84 ellipsoids
First eccentricity；A is WGS-84 ellipsoidal model major semiaxis, and its value is 6378137.0m；F is WGS-84 ellipsoidal model ellipticities, its
It is worth for 0.003352810664；
A32. ECEF coordinate system is converted to local horizontal coordinates
In formula, CNEThe transformation matrix converted for ECEF coordinate system to local horizontal coordinates；X, Y, Z are track of vehicle
In the expression of local horizontal coordinates；△XE、△YE、△ZEFor coordinate of the vehicle location under ECEF coordinate system and locality
The difference of the earth's core body-fixed coordinate system of the origin of coordinates is converted into the coordinate difference under local horizontal coordinates under horizontal coordinates；
A33. local horizontal coordinates is to positional representation coordinate system transformation
Positional representation coordinate system vehicle axis system direction corresponding with automobile test starting point is identical, and automobile operation stabilization
Property experiment generally carried out on level road, the Z axis of vehicle axis system and local horizontal coordinates is in the same direction all the time, therefore only need to be
X, Y-direction carries out coordinate transform：
In formula, (XV, YV) represented for vehicle location under the denotation coordination system of position；(xR,yR) test starting point for instruction carriage
Position in local horizontal coordinates；θ is the gun parallax of local horizontal coordinates and positional representation coordinate system；
A4. data interpolating, linear interpolation processing is carried out to valid data section, it is contemplated that when data precision and follow-up identification
Between, select 200 interpolation points；
A5. data normalization, method is as follows：
x′ik=(xik-aver(xk))/(max(xk)-min(xk))
In, x 'ikFor the data after standardization；xikFor observed value；aver(xk) be observed value average value；min(xk) be
The minimum value of observed value；max(xk) be observed value maximum；
(4), testing program identification model is set up, after test data pretreatment 1, the different tests of same testing program
The feature physics measurer of operating mode has identical magnitude and trend, and the feature physics measurer of different tests scheme has different trend,
Set up testing program identification model；Testing program is known using dynamic time warping method (DTW) and neural net method
Not, it is contemplated that same testing program turns to and turns to the trend of test data to the right on the contrary, being regarded as two kinds of experiment sides to the left
Case；Method is as follows：
B1. the testing program based on dynamic time warping method recognizes method for building up
Dynamic time warping method is by a kind of non-linear regular technology that the time adjusts and range measurement combines, energy
Enough two patterns inconsistent to data length, situations such as there is local deformation are matched, by cycle tests A and template sequence
B carries out a certain degree of local elongation or compression on a timeline, A and B is well matched with, so that it is corresponding with B to find A
The mapping of point, calculates the distance of corresponding points；The emphasis of dynamic time warping algorithm is to calculate distance to add up and matrix R, wherein R
(i, j) represents A (1:I) with B (1:J) square distance under the Optimum Matching path under current length cumulative and：
In order to eliminate the particularity of template, the corresponding all pretreated averages of test data of testing program are taken as mould
Plate, had both weakened the test data difference that different automobile types are brought, and the test data difference that different drivers bring is reduced again；
During use, the corresponding all pretreated averages of test data of above-mentioned testing program are stored, made
For template, the physical quantity of unknown classification is subjected to mould by pretreatment, the selection of feature physical quantity with the feature physical quantity in template
Formula matching, the classification for the as sample to be identified that similarity is maximum, i.e. distance is cumulative and matrix is minimum；
B2. the testing program based on neural net method recognizes method for building up
Neutral net makes the error mean square between the real output value of network and desired output using gradient search technology
Value reaches minimum, and learning process is propagated two processes by signal forward-propagating and direction of error and constituted, defeated during signal forward-propagating
Enter sample incoming from input layer, after being handled through hidden layer, be transferred to output layer, if the real output value of output layer with it is desired defeated
Go out value difference larger, be then transferred to each layer connection weight in error back propagation stage, signal forward-propagating and error back propagation
It is to carry out again and again with Node B threshold makeover process, the process that weights are constantly corrected is exactly the learning process of network, this mistake
Cheng Yizhi is carried out, until the error of network output is reduced to acceptable degree or reaches that study number of times set in advance is
Only；
Handling and stability experiment scheme identification model based on neural net method：The feature physical quantity of different tests scheme
Number and signal have differences, therefore set up a neural network model, the input layer of neutral net for each testing program
It is characterized physical quantity；Intermediate layer is hidden layer, using 12 nodes；Output layer is testing program classification, and neutral net is mainly trained
Parameter is：Maximum frequency of training is 1000 times, training objective minimal error is that 0.0001, learning rate is 0.01, by above-mentioned behaviour
Handing stability experimental data base stores neural network model parameter after neural metwork training；In use, will be unknown
The physical quantity of classification is by pretreatment, and selection individual features physical quantity travels through all neural network models, the class of model output
Not with the classification of the as sample of pre-set categories error minimum；
(5), test data pre-processes 2 methods, and the method pre-processed with step (3) test data in 1 is identical；
(6), operating condition of test recognition methods, the result recognized according to testing program and process test data pretreatment 2 are handled
Vehicle response and driver's input afterwards calculates operating condition of test parameter, is then classified as immediate operating condition of test therewith；
(7), the test validity method of inspection, first according to operating condition of test recognition result and by test data pretreatment 1
Test parameters specified in vehicle response and driver's input calculating GB or iso standard after processing, then examines the parameter to be
It is no in deviation range, if in deviation range, then it is assumed that the experiment is effective；Otherwise it is invalid；
(8), test evaluation, for effective experiment, should according to specified in ISO and GB standards evaluation index calculating side
The quick Calculation Estimation index of method is evaluated the control stability of vehicle, according to operating condition of test recognition result and through overtesting number
Vehicle response and driver's input after the processing of Data preprocess 1 calculate test evaluation index.
It is following to be tested with snakelike as experimental example, process is implemented to the present invention and is illustrated.
Because snakelike experiment is track following closed test, driver need to continuously observe objects ahead path, base
In the routing information observed, judge and carry out appropriate handling maneuver.Under identical operating mode, different automobile types are in order to stably
Pass through the steering wheel angle applied needed for snakelike stake different, the response such as side acceleration, yaw velocity of vehicle is also different.Make
For a closed test, vehicle can stably passing through snakelike stake be considered as success of the test, therefore can most characterize the characteristic body of snakelike experiment
Reason amount is the trajectory signal of vehicle：The lengthwise position and lateral position of vehicle.Snakelike experiment is to determine speed experiment.Therefore, select
Vehicle lateral position as snakelike experiment feature physical quantity.
In vehicle handling stability experiment RES(rapid evaluation system), snakelike test validity test and judge according to as shown in Figure 2,
First, longitudinal speed a reference value is 60km/h, fluctuated based on the value in the range of ± 5km/h；Second, vehicle lateral position rail
Mark (broken line) is in black color dots.Above-mentioned condition is met, the test data is verified as effectively.It is shown in Table 1, l is overall width length, with
The lateral position of the black color dots in being continuously increased for lengthwise position, the upper and lower deviation corresponding diagram 2 of lateral position.
Table 1 is snakelike experiment trajector deviation table
60km/h snakelike experiment is selected, is tested according to snakelike test method, 5 snakelike test samples are obtained.Drive
The person of sailing inputs and vehicle response.The collection of snakelike test sample is the sample data gathered by real vehicle on-the-ground test, sees Fig. 3 institutes
Show.After off-test, RES(rapid evaluation system) can successively be pre-processed, successively classified, testing program is recognized, operating condition of test is known
Not, test validity is examined and test evaluation.Assay is shown in Table 2, and sample 1,3 is valid data, and sample 2,4,5 is nothing
Imitate data.Sample 2,4,5 is invalid beyond permissible range due to speed.Therefore need to only objective evaluation be carried out to sample 1,3.
The snakelike test validity assay of table 2
The computational algorithm of snakelike experiment objective evaluation index is illustrated by taking steering wheel angle as an example.First determine whether to turn to
Disk corner zero point：If angle (k) × angle (k+1)≤0, that is, think that k points are zero points, see asterism in Fig. 4.Then search adjacent
The peak value and peak point of steering wheel angle between zero point, are shown in Fig. 4 orbicular spots.Due to the disturbance of data fluctuations and interference signal,
Many Null Spots occur in judgement to above-mentioned zero point, peak point, it is therefore desirable to increase several Rule of judgment and reject Null Spot.
Rule of judgment 1. searches steering wheel angle maximum max (angle), 0.7 × max of given threshold (angle), if phase
Steering wheel angle peak value between adjacent zero point is less than 0.7 × max of threshold value (angle), then concludes that the point is not peak point, give up wherein
One peak point and zero point.2. the maximum cycle max (T) between two neighboring zero point is searched, if between two neighboring zero point
Cycle deviates maximum cycle and exceedes maximum cycle ± 10%, concludes that the point is not peak point, gives up one of peak point and zero
Point.3. the product of two neighboring peak value should be negative, if positive number or zero, then give up one of peak point and zero
Point.
] after judgement, snakelike experiment effective peak point is obtained, as shown in Figure 5 more than.Effective peak point absolute value it is equal
Value is the steering wheel angle that is averaged.The evaluation index of calculating is shown in Table 3.
The snakelike test evaluation index result of table 3
This civilization is that test data is examined effectively in the precondition of progress vehicle parameter adjustment.The stream of vehicle parameter adjustment
Journey is as shown in Figure 6.First, the kinetic model of analyzed vehicle is set up, sets corresponding objective evaluation operating condition of test to be imitated
Very, various physical quantity response signals can be obtained, after Fast Evaluation, can obtain testing program, operating mode and experiment has
Effect property assay, calculates test evaluation index if experiment effectively, as target using optimization or optimization algorithm pair
Design variable is improved, and can also combine the Optimal improvements that the subjective evaluation method based on evaluation index is designed parameter.
The present invention is exemplified by improving slalom test performance, in order that evaluation result is more directly perceived, with reference to QC/T480-1999
The evaluation score difference of defined evaluation score processing method, the evaluation score of average yaw velocity and average steering wheel angle
For：
In formula, r60、r100Respectively be averaged yaw velocity higher limit and lower limit；φ60、φ100It is respectively average to turn
To the higher limit and lower limit of disk corner, specific value refers to table 4.
The snakelike test evaluation index limits of table 4
Snakelike experiment overall merit fraction：
Using snakelike experiment overall merit fraction as final optimization pass target, chassis design parameter is built under Isight environment excellent
Change flow, as shown in Figure 7.Par_Change components are responsible for each loop modification chassis design parameter；Vehicle_Model components
It is responsible for the emulation of Full Vehicle Dynamics model；Index_Test is used for test validity inspection and the calculating of evaluation index；Sum_
Index components s is used to calculate snakelike experiment combination property scoring.
Vehicle handling stability and suspension, tire, steering are closely bound up, therefore herein by suspension, steering, tire three
The parameter of individual system is used as design parameter.Design parameter value based on certain vehicle, provides the excursion of design parameter herein,
It is shown in Table 5：
The vehicle design parameters excursion of table 5
Chassis performance optimization is carried out with the orthogonal experiment design method provided in Isight softwares.Preferred process makes snakelike
Experiment overall merit fraction brings up to 95.45 from 90.49, as shown in Figure 8.Triangle in figure is the optimal of whole calculating process
Performance, show set forth herein method the performance of vehicle can be improved and be controlled before sample car is manufactured.It is preferred that front and rear
Design parameter is shown in Table 6：
Design parameter before and after table 6 is preferred
Claims (7)
1. a kind of vehicle parameter instruction method based on vehicle handling stability test evaluation system, it is characterised in that：Including car
Parameter instruction, vehicle dynamics simulation model, vehicle handling stability experiment RES(rapid evaluation system), vehicle performance comprehensive grading
Calculate and desired value judges.
2. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 1
Method, it is characterised in that：The vehicle parameter is looked after and guided to be read and parameter change for vehicle dynamic model parameter.
3. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 1
Method, it is characterised in that：The vehicle dynamics simulation model is used to emulate various handling and stability experiment operating modes, is tried in real time
Test data.
4. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 1
Method, it is characterised in that：The vehicle handling stability experiment RES(rapid evaluation system) is to respond letter according to driver's input and vehicle
Number can quickly identification test scheme, operating condition of test, judge the validity of experiment, and experiment carried out based on effective test data to comment
The calculating of valency index.
5. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 4
Method, it is characterised in that：The vehicle handling stability experiment RES(rapid evaluation system) is pre- including the selection of feature physical quantity, test data
Processing 1, testing program identification, test data pretreatment 2, operating condition of test identification, test validity are examined and test evaluation；
The feature physical quantity, which selects to be used for the selection from driver's input and vehicle response signal, can fully characterize experiment side
The main feature of case and the physical quantity that the testing program and other testing programs can be distinguished；
Test data pretreatment 1 and experiment 2 pairs of test datas of pretreatment carry out rejecting outlier, LPF, coordinate transform,
Data interpolating and data normalization；
The testing program is recognized for quick identification test scheme；
The operating condition of test is recognized for quick identification test operating mode；
The test validity examines the validity for the deviation limit value check test data for being the test parameters according to as defined in standard；
The test evaluation is quickly to calculate test evaluation index according to effective test data and operating condition of test.
6. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 1
Method, it is characterised in that：It is according to Vehicle Handling Stability Evaluation index, with reference to QC/ that the vehicle performance comprehensive grading, which is calculated,
The comprehensive grading of each testing program of T480-1999 criterion calculations.
7. a kind of vehicle parameter instruction side based on vehicle handling stability test evaluation system according to claim 1
Method, it is characterised in that：The desired value judges it is when vehicle handling stability experiment comprehensive grading reaches desired value, or experiment time
When number reaches maximum set value, desired value judges that chassis parameter instruction process can be stopped, and otherwise may proceed to next round chassis parameter
Instruction process.
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| CN108388730A (en) * | 2018-02-24 | 2018-08-10 | 北京车和家信息技术有限公司 | The method of vehicle development |
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